JOURNAL ARTICLE

The possibility of spreading herpes simplex virus type 1 via food handling and sharing.

  • Published In: Journal of Applied Microbiology, 2023, v. 134, n. 10. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Pageau, Gabrielle; Levasseur, Marianne; Paniconi, Teresa; Jubinville, Eric; Goulet-Beaulieu, Valérie; Boivin, Guy; Jean, Julie 3 of 3

Abstract

This article investigates the persistence and potential transmission of herpes simplex virus type 1 (HSV-1), an enveloped virus affecting approximately 67% of the global population, via food handling and sharing. The study assessed HSV-1 infectivity on common food-contact surfaces (stainless steel, aluminum, glass, polypropylene), various foods (cheddar cheese, sliced almonds, apple skin), and beverages (coffee, cola soft drink, milk, orange juice) at different temperatures, as well as its transfer from stainless steel to nitrile and latex gloves. Results showed that HSV-1 remained infectious for at least 24 hours on surfaces and foods at lower temperatures but was rapidly inactivated in acidic beverages like cola and orange juice; transfer to latex gloves occurred primarily when the virus was moist, while transfer to nitrile gloves was inconsistent. These findings suggest a low but plausible risk of HSV-1 transmission through contaminated food-contact surfaces and shared foods, highlighting the importance of proper hygiene and safe food handling practices in agri-food and household settings.

Additional Information

  • Source:Journal of Applied Microbiology. 2023/10, Vol. 134, Issue 10, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxad224
  • Accession Number:173805528
  • Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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